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Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from Mexican government. You can use the vms_download() function to download raw data, or you can use the sample_dataset provided within the package. You can follow the tutorial in the vignette available at <https://cbmc-gcmp.github.io/dafishr/index.html>.
Version: | 1.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, fst, ggplot2, lubridate, magrittr, mixtools, readr, readxl, rlang, sf, stringr, tibble, tidyr, tidyselect, utils, vroom |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-07-22 |
DOI: | 10.32614/CRAN.package.dafishr |
Author: | Fabio Favoretto [aut, cre], Eduardo Leon Solorzano [ctb] |
Maintainer: | Fabio Favoretto <fabio at gocmarineprogram.org> |
BugReports: | https://github.com/CBMC-GCMP/dafishr/issues/ |
License: | MIT + file LICENSE |
URL: | https://github.com/CBMC-GCMP/dafishr, https://cbmc-gcmp.github.io/dafishr/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | dafishr results |
Reference manual: | dafishr.pdf |
Vignettes: |
Where to start |
Package source: | dafishr_1.0.1.tar.gz |
Windows binaries: | r-devel: dafishr_1.0.1.zip, r-release: dafishr_1.0.1.zip, r-oldrel: dafishr_1.0.1.zip |
macOS binaries: | r-release (arm64): dafishr_1.0.1.tgz, r-oldrel (arm64): dafishr_1.0.1.tgz, r-release (x86_64): dafishr_1.0.1.tgz, r-oldrel (x86_64): dafishr_1.0.1.tgz |
Old sources: | dafishr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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